Evidence map›Paper›PMID 31390331›Full record

ReviewTurkish thoracic journal2019

What will Happen in the World of COPD 2030?

Richard E K Russell, Mona Bafadhel

Open access · diamondAbstract readReview
In one paragraph

Review in Turkish thoracic journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Richard E K RussellRespiratory Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-3890-7201
Mona BafadhelRespiratory Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-9993-2478
Lymington New Forest Hospital · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

2030 may seem to be a long way into the future, but it's not. We live in a world of relentless rapid change in modern medicine and our approach to our patients with chronic diseases such as chronic obstructive pulmonary disease (COPD) will need to evolve at speed. This review looks at what may occur in society and medicine that will influence the way we manage COPD. The article is the opinion of the authors and is based upon current research at the cutting edge of management with a degree of gazing into a dimly lit crystal ball. COPD is a current epidemic, and this is likely to continue. Legislative efforts to reduce smoking will continue and hopefully accelerate, but this will not be globally accepted or successful. Technological advances will occur that will lead to miniaturization and the rise of near patient testing. This itself will enable a personalised approach to management with the ability to measure rapidly biomarkers which will direct therapy. The blood eosinophil is the most promising of these and is available now. New developments in the identification of disease clusters and phenotypes will also enhance a more personalised approach. Through both these epidemiological studies and also new developments in the understanding of basic mechanisms it is hoped that in the future patients will be given treatments that may fundamentally change the prognosis of COPD. Small molecule and antibody directed therapies may, if given early enough, stop and even possibly reverse the effects of COPD on cells and organs. Of course, the most important step which is achievable now is to ban all tobacco-based products from the world.

Identifiers

PMID31390331
PMCPMC6777654
OpenAlexW2965971897

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.